On Tue, Feb 24, 2009 at 2:40 AM, Daniel Burgos <dbur...@gmail.com> wrote: > Nice project! > > I worked on this some time ago. I did not use neural networks but patterns > with feedback. > > The problem with feedback is that it is difficult to know when it reaches > its final state. Usually you get oscillations and that state never happens. > > I tried to solve that using timeouts, but what I got were random players. > > How are you going to solve this? > > Dani > > 2009/2/13 Ernest Galbrun <ernest.galb...@gmail.com> >> >> On Fri, Feb 13, 2009 at 22:42, Mark Boon <tesujisoftw...@gmail.com> wrote: >>> >>> Just curious, did you ever read 'On Intelligence' by Jeff Hawkins? After >>> reading that I got rather sold on the idea that if you're ever going to >>> attempt making a program with neural nets that behaves intelligently then it >>> needs to have a lot of feed-back links. Not just the standard feed-forward >>> type of networks. Some other good ideas in that book too IMO. >>> Mark >> >> Oh, thank you for the advice, this is the kind of things that can very >> smoothly be implemented in the program, I will surely a/ buy and read this >> book and b/ introduce some feedback interaction in my neuronal network. >> I have not introduced it so far because it seemed some ineffective expense >> in calculation power. >> _______________________________________________ >> computer-go mailing list >> computer-go@computer-go.org >> http://www.computer-go.org/mailman/listinfo/computer-go/ > > > _______________________________________________ > computer-go mailing list > computer-go@computer-go.org > http://www.computer-go.org/mailman/listinfo/computer-go/ >
I read a paper a couple years ago about a genetic algorithm to evolve a neural network for Go playing (SANE I think it was called?). The network would output a value from 0 to 1 for each board location, and the location that had the highest output value was played as the next move. I had an idea that the outputs could be sorted to get the X "best" moves, and that that set of moves could be used to direct a minimax or monte carlo search. I haven't had the chance to prototype this, but I think it would be an interesting and possibly effective way to combine neural networks with the current Go algorithms. Colin _______________________________________________ computer-go mailing list computer-go@computer-go.org http://www.computer-go.org/mailman/listinfo/computer-go/
